How can you successfully apply AI to CX?


Real-time insights delivery must be conveyed in the moment and through your customer’s chosen touch-point. These integrations are the key to in-the-moment engagement. “In addition to elegant SaaS data streams,” says Will Theil, “most enterprises must rely on myriad on-site, home-grown and legacy touchpoint data sources—product interfaces, payment platforms, point-of-sale systems, customer care, etc.. This reality creates a challenge for delivering real-time insights and are still very much a custom affair. Customer journey analytics platforms are now filling this gap with a host of APIs options and development kits to deliver comprehensive, real-time touchpoint integration with minimal investment.”  Customer journeys are unique to individual businesses. Every company has their own set of touchpoints and a distinct method of employment. AI systems are capable of more than just simply finding the ‘next best action’ or the optimal audience. When correct business context is applied, AI can find touchpoints and tactics to shape the customers behaviour.
AI systems are capable of more than just simply finding the ‘next best action’ or the optimal audience.

AI in the real world


In order to successfully apply AI, there are three main building blocks according to Pointillist;